Data Scientist

A data scientist is a professional who uses their expertise in statistics, programming, and domain knowledge to extract insights and make predictions from large and complex datasets. They apply advanced analytical techniques, machine learning algorithms, and statistical modeling to uncover patterns, solve complex problems, and drive data-informed decision-making. 

General Business/Corporate Skills 

All Data Analysis Skills

Advanced Python: Delves into sophisticated programming techniques and libraries that are crucial for high-level data analysis and machine learning. Explore advanced features of Python libraries such as Pandas, NumPy, SciPy, and Scikit-learn, focusing on data manipulation, statistical modeling, and machine learning algorithms. 

Machine Learning: Familiarize yourself with machine learning algorithms and techniques. Understand concepts like supervised and unsupervised learning, feature selection, and model evaluation. Learn how to apply machine learning algorithms using libraries such as scikit-learn or TensorFlow. 

Big Data Tools: Familiarize yourself with big data technologies such as Apache Hadoop, Spark, or Hive. Learn how to process and analyze large datasets using distributed computing frameworks. 

Deep Learning: Acquire knowledge of deep learning techniques, particularly neural networks. Understand architectures like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep learning frameworks like TensorFlow or PyTorch. 

Feature Selection and Dimensionality Reduction: Learn how to identify relevant features and reduce the dimensionality of datasets to improve model performance and efficiency. Explore techniques like principal component analysis (PCA) and feature importance ranking. 

Statistical Modelling: Develop a strong foundation in statistics as it forms the basis of data analysis. Understand concepts like probability, hypothesis testing, regression, and data modeling. 

Experimental Design & AB Testing: Understand the principles of experimental design and A/B testing. Learn how to design and conduct experiments to measure the impact of changes and make data-driven decisions.